Name
Abstract | ||
|---|---|---|
We analyze the effect of noise in integrate-and-fire neurons driven by time-dependent input and compare the diffusion approximation for the membrane potential to escape noise. It is shown that for time-dependent subthreshold input, diffusive noise can be replaced by escape noise with a hazard function that has a gaussian dependence on the distance between the (noise-free) membrane voltage and threshold. The approximation is improved if we add to the hazard function a probability current proportional to the derivative of the voltage. Stochastic resonance in response to periodic input occurs in both noise models and exhibits similar characteristics. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1162/089976600300015835 | Neural Computation |
Keywords | DocType | Volume |
ion channel,stochastic resonance,hazard function,degree of freedom,membrane potential,point process,diffusion approximation,neuronal activity | Journal | 12 |
Issue | ISSN | Citations |
2 | 0899-7667 | 48 |
PageRank | References | Authors |
12.32 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hans E Plesser | 1 | 133 | 20.47 |
| Wulfram Gerstner | 2 | 2437 | 410.08 |